Instructions to use AnonymousCS/populism_classifier_bsample_406 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_406 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_406")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_406") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_406") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0fab41d4236cf54c698e89ee6b0e251f105143fd3e91e5b7c60fa8c96a44723
- Size of remote file:
- 5.43 kB
- SHA256:
- 2ae65c1dc6eabdb4ff72408fd693d0315b5c646b6bf0f92db14f1a97f2fbd945
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